Web: http://arxiv.org/abs/2206.08451

June 20, 2022, 1:10 a.m. | Daryna Oliynyk, Rudolf Mayer, Andreas Rauber

cs.LG updates on arXiv.org arxiv.org

Machine Learning-as-a-Service (MLaaS) has become a widespread paradigm,
making even the most complex machine learning models available for clients via
e.g. a pay-per-query principle. This allows users to avoid time-consuming
processes of data collection, hyperparameter tuning, and model training.
However, by giving their customers access to the (predictions of their) models,
MLaaS providers endanger their intellectual property, such as sensitive
training data, optimised hyperparameters, or learned model parameters.
Adversaries can create a copy of the model with (almost) identical behavior …

arxiv learning lg machine machine learning machine learning models models on survey

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